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science or systems engineering. Knowledge of AI/ML algorithms, particularly graph neural networks and reinforcement learning, is highly advantageous. A keen interest in distributed computing, IoT architecture, and
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diagnostic innovation. This PhD is a great opportunity for anyone interested in applied research, molecular biology, plant science, and working closely with a large UK life science company. You will be
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promising technologies for real-world application. The outcomes therefore contribute to UK biosecurity and inform diagnostic innovation. This PhD is a great opportunity for anyone interested in applied
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of the cylinder(s). This has great benefits in process intensification, allowing precise control of mixing, mass and heat transfer in reactions and solid handling procedures, amongst other applications. However
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increased rotational speeds of the cylinder(s). This has great benefits in process intensification, allowing precise control of mixing, mass and heat transfer in reactions and solid handling procedures
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the University’s Application Portal: https://applyto.newcastle.ac.uk/ In ‘Course choice’ tab: Type of Study - ‘Postgraduate Research’ Mode of Study - ‘Full Time’ Year of Entry - ‘2026’ Course code ‘8420F’ Research
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6.5 overall, with 5.5 or more in each sub-skill. How To Apply You must apply through the University’s Application Portal: https://applyto.newcastle.ac.uk/ In ‘Course choice’ tab: Type of Study
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Skills/Background The applicant should have a solid background in computer science or systems engineering. Knowledge of AI/ML algorithms and simulation environments is highly advantageous. A keen interest
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offers great opportunities to work with experienced engineers and scientists at PuriFire Energy in: Reactor design optimisation: contribute to the design of the UK’s largest hydrothermal methanol
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· Interest/experience in health services research How To Apply You must apply through the University’s Application Portal: https://applyto.newcastle.ac.uk/ In ‘Course choice’ tab: Type of Study - ‘Postgraduate